B2B Data Engineering Lead

dentsu•New York, NY

9d•$94,000 - $157,000•Hybrid

About The Position

About the Role As the Data Engineering Lead for B2B Data Products, you will help design, build, and scale data solutions that extend the capabilities of our B2B Identity platform. In this role, you will create high‑quality B2B data attributes, strengthen professional‑to‑consumer linkage processes, and champion engineering excellence across the product ecosystem. You will collaborate closely with partners across product, identity, and engineering to align goals, shape strategy, and deliver consistent, reliable data experiences. This position is ideal if you enjoy leading technical initiatives, mentoring teams, and using AI to accelerate development and operations. What You’ll Do Product & Partnership Partner with product leaders to translate product strategy into technical workstreams and delivery plans. Work with identity leadership to understand platform services, data structures, APIs, and matching logic. Ensure engineering decisions support product goals around data quality, availability, accuracy, and linkage completeness. Data Engineering & Linkage Development Design and maintain data pipelines that process firmographic, professional, and consumer‑level data attributes. Implement logic that connects professional B2B contacts with consumer identities using established match rules and identity services. Build scalable, observable, high‑quality workflows with strong QA, lineage, documentation, and SLA alignment. Apply best practices for schema design, metadata management, versioning, and operational documentation. Technical Leadership Create architecture diagrams, integration specifications, and component‑level design documentation. Guide architectural decisions, conduct technical reviews, and support engineering quality across the team. Lead and mentor a distributed engineering team, including offshore team members, with clarity, structure, and support. Promote consistent standards in coding, testing, deployment, and observability. AI‑Enhanced Engineering Use AI to support engineering tasks, including code assistance, test generation, documentation, anomaly detection, and diagnostics. Introduce and scale AI‑driven workflows that reduce cycle time and enhance reliability. Support the team in building AI fluency and adopting effective automated practices. What You Bring Minimum Qualifications 8+ years of experience in data engineering or related fields, including experience leading teams or technical programs. 5+ years working with B2B identity data (firmographic attributes, professional attributes, entity resolution, identity lineage). Experience delivering or operating B2B data products in production environments. Ability to integrate with existing identity systems and platforms. Strong communication skills with experience collaborating across product, data science, platform, and governance teams. Experience working with offshore engineering partners. Proficiency with modern data engineering tools and technologies (e.g., Python, SQL, Snowflake, cloud storage, CI/CD). Preferred Qualifications Experience with third‑party B2B data providers (e.g., D&B, Bombora, ZoomInfo). Familiarity with consumer identity systems, CDPs, activation platforms, and B2B→B2C linkage workflows. Understanding of privacy, consent, and data governance. Experience applying AI throughout the software development lifecycle. Experience with observability platforms and cloud‑native data systems. What Success Looks Like Reliable delivery of B2B data products that integrate seamlessly with identity services. Strong collaboration and alignment with product leadership on goals, roadmaps, and success metrics. High accuracy and quality in professional‑to‑consumer data linkages. Increased development velocity through effective use of AI. A well‑supported, high‑performing distributed engineering team. The annual salary range for this position is $94,000 - $157,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Benefits available with this position include: • Medical, vision, and dental insurance, • Life insurance, • Short-term and long-term disability insurance, • 401k, • Flexible paid time off, • At least 15 paid holidays per year, • Paid sick and safe leave, and • Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com. At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office. Location: New York Brand: Merkle Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you. Can’t find a suitable job? Sign up for job alerts tailored to your interests and be first in line for new opportunities. About dentsu For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way. Find out more about us Who we are Our Social Impact Our work

Requirements

8+ years of experience in data engineering or related fields, including experience leading teams or technical programs.
5+ years working with B2B identity data (firmographic attributes, professional attributes, entity resolution, identity lineage).
Experience delivering or operating B2B data products in production environments.
Ability to integrate with existing identity systems and platforms.
Strong communication skills with experience collaborating across product, data science, platform, and governance teams.
Experience working with offshore engineering partners.
Proficiency with modern data engineering tools and technologies (e.g., Python, SQL, Snowflake, cloud storage, CI/CD).

Nice To Haves

Experience with third‑party B2B data providers (e.g., D&B, Bombora, ZoomInfo).
Familiarity with consumer identity systems, CDPs, activation platforms, and B2B→B2C linkage workflows.
Understanding of privacy, consent, and data governance.
Experience applying AI throughout the software development lifecycle.
Experience with observability platforms and cloud‑native data systems.

Responsibilities

Partner with product leaders to translate product strategy into technical workstreams and delivery plans.
Work with identity leadership to understand platform services, data structures, APIs, and matching logic.
Ensure engineering decisions support product goals around data quality, availability, accuracy, and linkage completeness.
Design and maintain data pipelines that process firmographic, professional, and consumer‑level data attributes.
Implement logic that connects professional B2B contacts with consumer identities using established match rules and identity services.
Build scalable, observable, high‑quality workflows with strong QA, lineage, documentation, and SLA alignment.
Apply best practices for schema design, metadata management, versioning, and operational documentation.
Create architecture diagrams, integration specifications, and component‑level design documentation.
Guide architectural decisions, conduct technical reviews, and support engineering quality across the team.
Lead and mentor a distributed engineering team, including offshore team members, with clarity, structure, and support.
Promote consistent standards in coding, testing, deployment, and observability.
Use AI to support engineering tasks, including code assistance, test generation, documentation, anomaly detection, and diagnostics.
Introduce and scale AI‑driven workflows that reduce cycle time and enhance reliability.
Support the team in building AI fluency and adopting effective automated practices.